Near-optimal solution alternatives for the synthesis of distributed energy supply systems
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Date
2013Type
- Conference Paper
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Abstract
An automated decision support framework is presented for the optimization-based synthesis of distributed energy supply systems (DESS). The framework supports decision makers through the generation and analysis of a set of promising candidate solutions rather than a single optimal solution only. For this purpose, an automated three-step synthesis procedure is proposed that first determines the solution optimizing a single criterion; second, generates near-optimal solution alternatives, and third, computes Pareto-optimal compromise solutions. The solution set is evaluated a posteriori to generate deeper understanding of the synthesis problem. In this paper, a real-world problem from the pharmaceutical industry is considered. For economic optimization, first, the net present value is maximized. Secondly, structurally different, near-optimal solution alternatives are identified employing an integer-cut based solution procedure. Finally, the ε- constraint method is used to generate a Pareto-front representing the trade-offs between investment cost and cumulative energy demand. It is shown that the three-step procedure yields valuable insight into the synthesis problem enabling rational and far-sighted design decisions. Show more
Publication status
publishedBook title
Proceedings of the 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013Publisher
China International Conference Center for Science and TechnologyEvent
Organisational unit
09696 - Bardow, André / Bardow, André
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